mstate: Data Preparation, Estimation and Prediction in Multi-State Models

Contains functions for data preparation, descriptives, hazard estimation and prediction with Aalen-Johansen or simulation in competing risks and multi-state models, see Putter, Fiocco, Geskus (2007) <doi:10.1002/sim.2712>.

Version: 0.3.2
Depends: survival (≥ 3.1)
Imports: rlang, data.table, lattice, RColorBrewer, viridisLite
Suggests: cmprsk, ggplot2, knitr, rmarkdown, relsurv (≥ 2.2-5)
Published: 2021-11-08
Author: Hein Putter [aut, cre], Liesbeth C. de Wreede [aut], Marta Fiocco [aut], Ronald B. Geskus [ctb], Edouard F. Bonneville [aut], Damjan Manevski [ctb]
Maintainer: Hein Putter <H.Putter at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Citation: mstate citation info
Materials: README ChangeLog
In views: Epidemiology, Survival
CRAN checks: mstate results


Reference manual: mstate.pdf
Vignettes: Visualising multi-state models using mstate
Using mstate for the analyses of Putter et al. (Stat Med 2007)


Package source: mstate_0.3.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): mstate_0.3.2.tgz, r-oldrel (arm64): mstate_0.3.2.tgz, r-release (x86_64): mstate_0.3.2.tgz, r-oldrel (x86_64): mstate_0.3.2.tgz
Old sources: mstate archive

Reverse dependencies:

Reverse imports: flexsurv, Landmarking, markovMSM, maxcombo, OptimalTiming, randomizeR
Reverse suggests: cohorttools, dynpred, Epi, globaltest, hesim, msm, popEpi, PScr, riskRegression, rstpm2, survCurve


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